Discovering Spatially Interesting Patterns in Big Geo-referenced Sequential Databases
V Kattumuri, RU Kiran, S Suzuki - IEEE Access, 2024 - ieeexplore.ieee.org
Geo referenced time series is a cornerstone in spatiotemporal data analysis, revealing
invaluable patterns that drive socio-economic development. Previous studies have modeled …
invaluable patterns that drive socio-economic development. Previous studies have modeled …
3P-ECLAT: mining partial periodic patterns in columnar temporal databases
V Pamalla, UK Rage, R Penugonda, L Palla… - Applied …, 2024 - Springer
Partial periodic pattern (3P) mining is a vital data mining technique that aims to discover all
interesting patterns that have exhibited partial periodic behavior in temporal databases …
interesting patterns that have exhibited partial periodic behavior in temporal databases …
k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases
Finding periodic-frequent patterns in temporal databases is a prominent data mining
problem with bountiful applications. It involves discovering all patterns in a database that …
problem with bountiful applications. It involves discovering all patterns in a database that …
Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set compliments
Periodic-frequent patterns are a vital class of regularities in a temporal database. Most
previous studies followed the approach of finding these patterns by storing the temporal …
previous studies followed the approach of finding these patterns by storing the temporal …
Periodic-confidence: a null-invariant measure to discover partial periodic patterns in non-uniform temporal databases
UK Rage, V Chhabra, S Chennupati… - International Journal of …, 2023 - Springer
Abstract Partial Periodic Pattern Mining (3PM) is a key knowledge discovery technique with
many applications. It involves discovering all patterns that have exhibited partial periodic …
many applications. It involves discovering all patterns that have exhibited partial periodic …